Robust Electric Bus Coordinated Charging Scheduling for a Hybrid Charging System
Robust Electric Bus Coordinated Charging Scheduling for a Hybrid Charging System
Robust Electric Bus Coordinated Charging Scheduling for a Hybrid Charging System
Robust Electric Bus Coordinated Charging Scheduling for a Hybrid Charging System
Organization:
Southeast University
Organization:
Southeast University
Organization:
Southeast University
Duration:
Jan 2020 - Aug 2020
Duration:
Jan 2020 - Aug 2020
Duration:
Jan 2020 - Aug 2020
Overview
Conducted literature review and field research on the major factors that constrain the popularization of electric buses (EBs)
Developed a deterministic optimization (DO) model, with a focus on minimizing the total charging cost and optimizing the overnight charging schedule of the EBs, under the time-of-use electricity prices
Extended DO to a robust optimization (RO) model by incorporating the uncertainty of EBs’ remaining power when arriving at the charging station
Converted and simplified the proposed RO into a feasible problem using Affine Transformation and Duality Theorem; • Solved the model numerically using the Gurobi optimizer, followed by conducting a real-world case study and sensitivity analysis to examine the model
Completed a first-author conference paper, presented at the 100th Annual Meeting of Transportation Research Board
Overview
Conducted literature review and field research on the major factors that constrain the popularization of electric buses (EBs)
Developed a deterministic optimization (DO) model, with a focus on minimizing the total charging cost and optimizing the overnight charging schedule of the EBs, under the time-of-use electricity prices
Extended DO to a robust optimization (RO) model by incorporating the uncertainty of EBs’ remaining power when arriving at the charging station
Converted and simplified the proposed RO into a feasible problem using Affine Transformation and Duality Theorem; • Solved the model numerically using the Gurobi optimizer, followed by conducting a real-world case study and sensitivity analysis to examine the model
Completed a first-author conference paper, presented at the 100th Annual Meeting of Transportation Research Board
Overview
Conducted literature review and field research on the major factors that constrain the popularization of electric buses (EBs)
Developed a deterministic optimization (DO) model, with a focus on minimizing the total charging cost and optimizing the overnight charging schedule of the EBs, under the time-of-use electricity prices
Extended DO to a robust optimization (RO) model by incorporating the uncertainty of EBs’ remaining power when arriving at the charging station
Converted and simplified the proposed RO into a feasible problem using Affine Transformation and Duality Theorem; • Solved the model numerically using the Gurobi optimizer, followed by conducting a real-world case study and sensitivity analysis to examine the model
Completed a first-author conference paper, presented at the 100th Annual Meeting of Transportation Research Board
Overview
Conducted literature review and field research on the major factors that constrain the popularization of electric buses (EBs)
Developed a deterministic optimization (DO) model, with a focus on minimizing the total charging cost and optimizing the overnight charging schedule of the EBs, under the time-of-use electricity prices
Extended DO to a robust optimization (RO) model by incorporating the uncertainty of EBs’ remaining power when arriving at the charging station
Converted and simplified the proposed RO into a feasible problem using Affine Transformation and Duality Theorem; • Solved the model numerically using the Gurobi optimizer, followed by conducting a real-world case study and sensitivity analysis to examine the model
Completed a first-author conference paper, presented at the 100th Annual Meeting of Transportation Research Board
